Course: Master Thesis 2

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Course title Master Thesis 2
Course code KMI/DP2
Organizational form of instruction Seminary
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 10
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Masopust Tomáš, doc. RNDr. Ph.D., DSc.
  • Krupka Michal, doc. RNDr. Ph.D.
  • Bartl Eduard, doc. RNDr. Ph.D.
  • Bělohlávek Radim, prof. RNDr. Ph.D., DSc.
  • Kolařík Miroslav, doc. RNDr. Ph.D.
  • Konečný Jan, doc. RNDr. Ph.D.
  • Krajča Petr, Mgr. Ph.D.
  • Osička Petr, Mgr. Ph.D.
  • Outrata Jan, doc. Mgr. Ph.D.
  • Kühr Tomáš, Mgr. Ph.D.
  • Večerka Arnošt, RNDr.
  • Zacpal Jiří, Mgr. Ph.D.
  • Trnečka Martin, RNDr. Ph.D.
  • Opichal Stanislav, RNDr.
  • Tříska Jan, Mgr. Ph.D.
  • Jančar Petr, prof. RNDr. CSc.
  • Janoštík Radek, Mgr. Ph.D.
  • Novák Lukáš, Mgr.
  • Urbanec Tomáš, Mgr.
  • Zapletal Lukáš, Mgr.
  • Laštovička Jan, Mgr. Ph.D.
  • Trnečková Markéta, Mgr. Ph.D.
  • Balun Jiří, Mgr.
Course content
This is a second part of a course devoted to work on master thesis. The course program is provided by the supervisor according to the thesis topic. During the course, the student will attend consultations with the supervisor. The student chooses the thesis topic in accordance with the valid rules.

Learning activities and teaching methods
Demonstration
Learning outcomes
Working out the aims of the master's thesis defined by the thesis supervisor.
3. Application: Apply computer science methods to advanced problems. 4. Analysis: Compare various possibilities for solving the problems of the thesis. 5. Synthesis: Solve various theoretical or practical problems, propose proper methods or technologies. 6. Evaluation: Review particular and general outcomes of the thesis, compare with other approaches.
Prerequisites
unspecified

Assessment methods and criteria
Written exam, Student performance

Active participation in class. Completion of assigned homeworks. Passing the written exam.
Recommended literature
  • Podle pokynů vedoucího práce.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in Artificial Intelligence (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Software Development (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in General Computer Science (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Computer Systems and Technologies (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer